Forward Deployed Engineer (Training)

Forward Deployed EngineersForward Deployed Engineers work directly with the largest and fastest-growing AI companies in the world, owning their technical outcomes on Baseten and taking on the hardest problems in serving and improving models at scale. The work spans the model lifecycle: inference, post-training, and the systems that tighten the loop between them.Act as each account's de facto CTO on Baseten, with final accountability for how their workloads are designed, run, and scaled.Take customer objectives from vague to shipped: frame the problem, define the spec and success criteria, build the PoC, and carry it through to production quickly, using the right tools for the problem.Design the evals and benchmarks that isolate where quality or performance falls short, then close the gap yourself, whether that means optimizing inference, improving the model through post-training, or reworking the eval itself.Be the first responder to mission-critical failures including triage, owning the fix directly or route to the owning team and stay accountable until it ships.Build internal systems so that each engagement is faster than the last. This includes tooling and automation for eval and deployment infrastructure, and the recipes and reference implementations that make the product more self-serve.Shape the product itself, channeling what your accounts need into the roadmap and shipping fixes and features into Baseten's codebase yourself.Do all of this across multiple accounts at once, sequencing the work, pulling in the right people at the right time, and keeping customers and internal stakeholders aligned on status and risk.Requirements:Minimum 1-2 years of software engineering experience, shipping and maintaining code in large production systems, ideally with breadth across the stackExperience debugging complex production issues - working through logs, metrics, and traces to root-cause problems in unfamiliar systemsConfidence owning ambiguous technical problems. This includes triaging, making decisions under uncertainty, and knowing when to pull in other engineers who own the underlying systemsMotivation beyond pure engineering. An interest in wanting to work directly with customers, understand their problems firsthand, and influence the productClear communication on complex technical topics, whether you're talking to a customer's engineers or their leadershipGenuine curiosity about AI inference and training, and a drive to become an expert in the infrastructure powering itWillingness to respond to customers outside regular working hours and participate in an on-call rotationExcitement about solving problems for some of the largest and fastest-growing companies in the world running mission-critical AI workloadsWhat You'll Bring:Depth in a core infrastructure domain such as storage systems or networking (anywhere from the cloud layer to cluster interconnects like InfiniBand and RoCE)Experience operating distributed compute platforms like Kubernetes, Slurm, or Ray, especially for GPU workloadsA detailed understanding of LLM architectures and modern inference engines like vLLM, TensorRT-LLM, or SGLangThe ability to profile and optimize GPU workloads, in training or servingHands-on experience with post-training techniques like SFT and RL, or a broader deep learning background plus fluency in a tensor computation library like PyTorch or JAXOperational depth - running on-call, leading incident response, debugging distributed systems under pressureBenefits:Competitive compensation, including meaningful equity100% coverage of medical, dental, and vision insurance for employee and dependentsFlexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)Paid parental leaveFertility and family-building stipend through CarrotCompany-facilitated 401(k)Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).